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apply analytical workflows for high-throughput breath analysis, ensuring robust and reproducible data. Work closely with clinical and research partners to translate findings into practical screening
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evidence. Six case study landscapes across Ireland form the core analytical framework, each illuminating different demographic, environmental, social, and religious impacts of the Famine. The successful
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if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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imaging and downstream data analysis, strong practical skills in analytical chemistry, specifically LC and mass spectrometry. The candidate must have a strong publication record in the field of mass
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software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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, environmental, demographic, or spatial data. Have experience in statistical analysis using R, Python, SPSS, Stata, or similar analytical tools. Have good organizational and communication skills and evidence of
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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity
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of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and